A Micro-view on Techniques for Knowledge Based Systems
Ravi Lourdusamy1, Xavierlal J. Mattam2
1Dr. Ravi Lourdusamy, Associate Professor & Head, Department of Computer Science, Sacred Heart College Autonomous, Tirupattur (Tamil Nadu), India.
2Xavierlal J. Mattam, Ph.D. Research Scholar, Management Full Time, Department of Computer Science, Sacred Heart College Autonomous, Tirupattur (Tamil Nadu), India.
Manuscript received on 25 November 2019 | Revised Manuscript received on 13 December 2019 | Manuscript Published on 30 December 2019 | PP: 416-418 | Volume-9 Issue-2S3 December 2019 | Retrieval Number: B11031292S319/2019©BEIESP | DOI: 10.35940/ijitee.B1103.1292S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Knowledge representation has been a topic of research and study from the time machine processing of data and information became popular. The attempt to mimic the human cognition using artificial intelligence techniques has been the goal of artificial intelligence systems. The crux of cognition is knowledge. Knowledge is an inference made from data and information that is acquired from a variety of sources. The ability to efficiently acquire information, process it and store it as a knowledge base for further retrieval and use makes the artificially intelligent system a cognitive system. The paper is a brief introduction to knowledge representation techniques and schemes.
Keywords: Artificial Intelligence, Database, Knowledge base Systems, Knowledge Representation.
Scope of the Article: Knowledge Systems and Engineering